Globally, lung cancer is a prevalent reason for death for individuals. The most common form of lung cancer has a high death rate. If lung cancer is identify and care for in its early on stages, screening can assist id...
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Many computer vision and imageprocessingalgorithms rely on the knowledge of the image noise variance as their input. parameter. However, in practice, the distinction between noise and image features is not easy to d...
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ISBN:
(纸本)0819452017
Many computer vision and imageprocessingalgorithms rely on the knowledge of the image noise variance as their input. parameter. However, in practice, the distinction between noise and image features is not easy to draw. In this paper, image noise variance is estimated by a novel method employing rigorously derived polynomial masks. The method is based on the assumption that the image can be locally represented as a polynomial of the given degree and constitutes a generalization of some of previously proposed approaches.
In order to provide an efficient way to processing with limited resources, we propose a novice wavelet coder that operates with little memory usage on the portable embedded system. In order to reduce redundancy in cod...
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ISBN:
(纸本)0819452017
In order to provide an efficient way to processing with limited resources, we propose a novice wavelet coder that operates with little memory usage on the portable embedded system. In order to reduce redundancy in coding process caused by repetitive scanning of wavelet coefficients, the proposed coder uses a 2-D the Significance Coefficient Array (SCA) which records the bit-level information of wavelet coefficients. The 2-D SCA improves memory usage and processing speed required for image coding because it can perform significance check and bit coding of coefficients simultaneously.
In this paper, a general philosophy about feature windows based applications and a windows-based application are presented for analysis, algorithm development, testing and validation studies for Signal, image and Data...
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ISBN:
(纸本)0819428949
In this paper, a general philosophy about feature windows based applications and a windows-based application are presented for analysis, algorithm development, testing and validation studies for Signal, image and Data processing (SIDP) for Space-Based Surveillance (SBS) Applications. This dedicated facility is called AUG_SIDP. It performs several specialized tasks such as blur estimation, restoration, CFAR detection, clutter modeling, registration, pixel and data level fusion, target tracking and classification. It is still in the development and testing phase.
We present a generalized approach to dynamically incorporate high level knowledge into a cooperative intelligent image analysis framework. We developed this framework in our laboratory to provide a uniform interface t...
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ISBN:
(纸本)0819452017
We present a generalized approach to dynamically incorporate high level knowledge into a cooperative intelligent image analysis framework. We developed this framework in our laboratory to provide a uniform interface to develop intelligent image analysis tools as well as to provide infrastructure facilities required by these tools in order to work cooperatively for accomplishing complex image analysis task goals. This framework is able to automatically generate processing plans which accomplish user defined image analysis task goals. The approach that we propose in this paper provides a flexible interface to incorporate high level knowledge in imageprocessing tools. We provide two ways to develop this knowledge: 1) by taking a feedback from an imageprocessing expert about a processing plan generated by the system;and 2) by accepting a processing plan which accomplishes a particular task from an expert user. and then extracting the high level knowledge encapsulated in this plan. The generalized nature of our approach allows each individual tool to use machine learning algorithms of its own interest in improving the knowledge-base. Preliminary results that we obtained from this work demonstrates the success of our approach.
This paper deals with the fast-developing area of computational photography where a combination of imaging techniques and efficient imageprocessingalgorithms is done to generate a super imaging system. In recent yea...
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This paper deals with the fast-developing area of computational photography where a combination of imaging techniques and efficient imageprocessingalgorithms is done to generate a super imaging system. In recent years, three main implementations of the computational photography philosophy were intensively investigated and demonstrated: (i) multiple aperture, (ii) light field photography, and (iii) multiexposure. The paper provides a mini-review of these three approaches and shows ways to improve and combine them toward a super imaging system. As a conclusion, the paper provides preliminary guidelines for fusing the three approaches into one integrated super imaging system with optimized performance. (C) 2013 Optical Society of America
Focus of attention is often attributed to biological vision system where the entire field of view is first monitored and then the attention is,focused to the object of interest. We propose using a similar approach for...
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ISBN:
(纸本)0819452017
Focus of attention is often attributed to biological vision system where the entire field of view is first monitored and then the attention is,focused to the object of interest. We propose using a similar approach for object recognition in a color image sequence. The intention is to locate an object based on a prior motive, concentrate on the detected object so that the imaging device can be guided toward it. We use the abilities of the intelligent image analysis framework developed in our laboratory to generate an algorithm dynamically to detect the particular type of object based on the user's object description. The proposed method uses color clustering along with segmentation. The segmented image with labeled regions is used to calculate the shape descriptor parameters. These and the color information are matched with the input description. Gaze is then controlled by, issuing camera movement commands as appropriate. We present some preliminary results that demonstrate the success of this approach.
The paper is devoted to design, fast implementation and applications of a family of 8-points integer orthogonal transforms based on a parametric matrix. A unified algorithm for their efficient computations is develope...
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ISBN:
(纸本)0819452017
The paper is devoted to design, fast implementation and applications of a family of 8-points integer orthogonal transforms based on a parametric matrix. A unified algorithm for their efficient computations is developed. Derived fast transforms have close coding gain performance to the optimal Karhunen-Loeve transform for the first order Markov process. Among them are also such that closely approximate the DCT-II and. at the same time, have a larger coding gain. For a particular set of parameters, integer transforms with reduced computational complexity are obtained. The comparative analysis of these transforms with the DCT-II in the framework of image denoising and video coding is performed.
imageprocessing is usually associated with pattern recognition and is rather treated as a subject outside of the computer graphics interest. Basically computer graphics algorithms are used for the visualization of sc...
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imageprocessing is usually associated with pattern recognition and is rather treated as a subject outside of the computer graphics interest. Basically computer graphics algorithms are used for the visualization of scenes or models described using some abstract notation, while imageprocessing is used on the opposite way -i.e. when finding an abstract description of an analyzed pattern. This paper proposes to use the imageprocessing approach for rendering optical effects in computer graphics algorithms. Proposed algorithms can be used for the generation of realistic and artistic optical effects in real-time, in, for example, visual simulators, virtual reality or multi-media applications. (C) 1997 Elsevier Science B.V.
This paper describes a new shape matching using image projection features. The corners are located in the binary image using the radius vector function. The imaginary line joining any two corners is called the baselin...
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ISBN:
(纸本)0819452017
This paper describes a new shape matching using image projection features. The corners are located in the binary image using the radius vector function. The imaginary line joining any two corners is called the baseline, if the distance between those two corners is the maximum. The image is rotated to align the baseline with the reference axis. Horizontal and vertical projections of the rotated image are drawn. The projections are matched with the projections of the database images using the sorted normalized matching algorithm. The algorithm is tested on various test images.
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